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Director Baseball Data Analytics Jobs in Kansas (NOW HIRING)

Escalate resourcing conflicts and tradeoff decisions to the VP / Director with clear recommendations Stakeholder Management * Serve as the primary point of contact for data and analytics needs across ...

The Director will manage a small team of data analysts and engineers and will work closely with an external implementation partner during the initial build-out of the data lake and data warehouse.

About Baseball Lifestyle 101 BL101 began as an Instagram account started by a baseball obsessed ... Ability to analyze sales data and market trends to inform strategic decisions * Ability to work in ...

Key Holder

Kansas City, KS · On-site

$18/hr

About Baseball Lifestyle 101 BL101 began as an Instagram account started by a baseball obsessed ... Ability to analyze sales data and market trends to inform strategic decisions * Ability to work in ...

... into production analytics, and partners with product and engineering to deliver trusted, data ... Direct experience working with Medicare/CMS claims data (e.g., CCW, LDS, LDS/RIF files, or ...

... into production analytics, and partners with product and engineering to deliver trusted, data ... Direct experience working with Medicare/CMS claims data (e.g., CCW, LDS, LDS/RIF files, or ...

Partner with institutional data and analytics leaders to shape and advance a shared vision for ... AND direct experience leading direct reports and functional teams * AND leading an institution ...

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Join Global Partners as Senior Director of Data Engineering to lead the architecture, development ... data infrastructure that powers analytics, operations, real-time decisioning, and digital ...

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Director Baseball Data Analytics information

What is the difference between Director Baseball Data Analytics vs Data Analyst?

AspectDirector Baseball Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Sports Management, or related fields; experience in baseball analyticsBachelor's in Data Science, Statistics, or related fields; entry-level to mid-level experience
Work EnvironmentMajor league teams, sports organizations, analytics firmsCorporate offices, sports organizations, consulting firms
Employer & Industry UsageSports industry, baseball teams, sports analytics companiesVarious industries including sports, finance, marketing, and healthcare

The main difference between a Director Baseball Data Analytics and a Data Analyst is the level of seniority and scope of responsibilities. The Director oversees analytics strategies, manages teams, and influences decision-making at a high level within baseball organizations. In contrast, a Data Analyst typically handles data collection, analysis, and reporting tasks under supervision. Both roles require strong analytical skills and familiarity with sports data, but the Director position demands more leadership experience and industry-specific knowledge.

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Senior Director, Data & Analytics Engineering

Quality Technology Services, LLC

Overland Park, KS • On-site

Other

Posted 13 days ago


Job description

As the Senior Director of Data & Analytics Engineering, you will serve as a senior technology leader responsible for defining and executing the enterprise vision, strategy, and operating model for data and analytics engineering across QTS. You will provide strategic leadership for the architecture, governance, scalability, and modernization of the enterprise data ecosystem, ensuring data becomes a foundational asset that accelerates business growth, operational excellence, and AI-driven innovation.

This role leads multiple teams and technical leaders responsible for building and operating modern, AI-enabled data platforms that power enterprise analytics, business operations, executive decision-making, and future digital capabilities. You will shape long-term data and AI investments, influence enterprise technology strategy, and partner closely with executive leaders across Product, Technology, Finance, Operations, and Business Functions to transform how data is sourced, governed, activated, and consumed across the organization.

As a key leader within the Enterprise Data & Analytics organization, you will establish strategic priorities, develop organizational capability, and champion modern engineering practices that position QTS to scale effectively while maximizing the value of data, analytics, and artificial intelligence.


What You Will Do: (Job Responsibilities)

  • Define and drive the long-term enterprise vision and strategy for data and analytics engineering, ensuring alignment with corporate growth objectives, digital transformation initiatives, and business strategy.
  • Serve as a trusted advisor to executive leadership, influencing enterprise decisions related to data, analytics, AI, governance, and technology investments.
  • Establish organizational priorities, operating models, and investment strategies that optimize platform scalability, business value delivery, and technology modernization.
  • Lead and develop a multi-layered organization of engineering managers, architects, and technical leaders, building leadership bench strength and succession plans for critical roles.
  • Design and evolve the organizational structure, talent strategy, and operating model required to support rapid business growth and emerging technology needs.
  • Manage departmental budgets, vendor relationships, and strategic technology investments to ensure effective allocation of resources and achieve business outcomes.
  • Drive enterprise-wide adoption of data products, governance standards, AI capabilities, and self-service analytics through partnership with senior business and technology leaders.
  • Establish and champion enterprise standards, architectural principles, and data governance frameworks that enable consistency, compliance, and scalability across business functions.
  • Represent the Data & Analytics function in executive forums, strategic planning sessions, and enterprise transformation initiatives.
  • Other duties as assigned.
  • Min. 11 years of experience in data engineering, analytics engineering, or data platform leadership, including 5+ years leading managers or senior technical teams.
  • 15+ years of progressive experience in data engineering, analytics engineering, data platforms, or enterprise technology leadership, including 8+ years leading managers, senior leaders, and large-scale engineering organizations.
  • Demonstrated success defining and executing enterprise-wide data, analytics, or digital transformation strategies across complex, rapidly scaling organizations.
  • Experience leading through multiple layers of leadership, including managers, senior managers, architects, and technical leads.
  • Proven ability to influence executive stakeholders and drive alignment across business, product, operations, and technology organizations.
  • Experience managing significant budgets, technology investments, vendor relationships, and strategic sourcing decisions.
  • Track record of building and scaling high-performing organizations while driving organizational change, capability development, and succession planning.
  • Experience presenting technology strategies, business cases, investment recommendations, and transformation roadmaps to executive leadership teams and Board-level audiences.
  • Deep expertise in architecting, scaling, and governing modern cloud-based data platforms, including data warehousing, ingestion, transformation, semantic modeling, and data product frameworks, with extensive experience leveraging technologies such as Snowflake, Fivetran, dbt, and contemporary ELT ecosystems.
  • Demonstrated expertise in modern streaming and near-real-time data architectures, including Kafka, CDC, and dynamic data processing patterns, with the ability to evaluate, prioritize, and implement solutions that enable business agility and data-driven decision-making.
  • Extensive experience with software engineering best practices and agile delivery (sprint planning, code review, testing, CI/CD, on-call, postmortems).
  • Strong understanding of enterprise analytics and data consumption strategies, including BI and visualization platforms such as Tableau, Looker, or similar tools, with the ability to influence stakeholders and align analytical capabilities to business objectives.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.